Product Manager

Posted 3 Days Ago
New York City, NY, USA
Hybrid
110K-140K Annually
Mid level
Information Technology
The Role
Lead 0-to-1 AI product development for Goodie’s AI search platform. Define roadmap, work closely with engineering and design, engage enterprise customers, set quality metrics for AI output, use Mixpanel and customer signals to prioritize, and coordinate go-to-market with BD, CS, and Marketing.
Summary Generated by Built In
About Goodie AI

Goodie helps leading brands win AI search. As billions of people use ChatGPT, Perplexity, Gemini, and other AI systems to discover products and make buying decisions, brands need a way to understand and influence how they’re represented.

Goodie gives teams a full AI control plane: real-time visibility into how AI models speak about their brand and products, how competitors show up, and an optimization engine to improve visibility and performance. This category didn’t exist two years ago - we were early, and we’re defining it.

We’re backed by strong investors, trusted by category-leading customers, and scaling fast. We’re hiring curious, ambitious builders to help shape the future of AI search.

What we are looking for:

A builder who's energized by a blank page, not intimidated by one. You'll own the development and launch of the AI products at the center of Goodie's platform, working shoulder-to-shoulder with the CEO, Engineering and Design to solve problems that don't have a playbook yet.

This is a 0-to-1 role, not a maintain-and-optimize one. You'll be handed real ambiguity and real freedom, and it's on you to bring a structured, creative point of view to problems no one has solved before.

You move fast, think analytically, and can turn messy signals, customer feedback, market shifts, and data, into a clear product vision that Engineering, Design, Sales, and Marketing can all rally behind.

What you'll do

Product Strategy and Roadmap

  • Own a product area from problem to shipped outcome: you set the roadmap, define the bets, and are accountable for whether they worked.

  • Get close to customers, enterprise marketing leaders, CMOs, SEO and content directors, talking to them directly and often, and turn what you hear into product.

  • Define what “good” looks like in a space with no benchmarks: the metrics, the thresholds, and the quality bar for AI-generated output.

Execution and Delivery

  • Work shoulder-to-shoulder with Engineering and Design in fast cycles: we ship weekly, not quarterly.

  • Own timelines, resources, and cross-functional dependencies to hit that cadence without cutting corners.

  • Ensure every release meets a high standard for quality, usability, and performance.

Data and Insights

  • Use analytics (Mixpanel) to decide what to build next, and to prove what shipped actually moved something.

  • Build the feedback loop between data, customer signal, and roadmap prioritization.

Go-to-Market and Positioning

  • Partner with BD, Customer Success, and Marketing so what we launch lands with customers and the market.

  • Communicate roadmap decisions clearly and effectively to stakeholders across the company.

What you have:

  • 4+ years in product management, ideally on B2B SaaS products with meaningful time at a startup (Series A or later) that grew while you were there.

  • Clear, specific ownership on your résumé - products or areas you drove, with outcomes you can point to. We'll ask.

  • Strong analytical instincts paired with real creative instinct. You're comfortable in the data yourself, not just reading dashboards someone else built.

  • Background in martech, fintech, or another data-dense B2B domain is a strong fit.

  • You already work AI-natively. You use LLMs and AI tooling to do your own job faster and better, and you have opinions about where they break. Not a nice-to-have here - you'd be building for AI while working through it.

  • Strong communication skills, with an ability to put your thoughts to paper in a simple, but effective manner.

  • Comfortable with ambiguity and low process. We're defining a category; a lot of the time nobody knows the answer yet.

  • A collaborative approach, working seamlessly across Engineering, Design, Sales, and Marketing to deliver results.

Bonus/Nice-to-haves

  • LLM or GenAI product development.

  • SEO, content, or search background.

  • Experience as an early product hire building 0-to-1 at a startup.

Benefits & Perks Of Becoming a Goodie:

  • Earn More, Together: Base Pay + Profit Sharing & Commissions Opportunities

  • Health First: Premium Medical, Dental & Vision Coverage

  • Flex Work Environment: Hybrid at HQ and Remote Globally

  • Set Up Shop: Home Office Stipend

  • Recharge Anytime: Unlimited PTO Plan

  • Family First: Paid Parental Leave Plan

  • Secure Your Future: 401(k) Plan with Employer Matching

  • Level Up: Mentorship & Career Growth Support

  • Always Be Learning: Access to Top-tier Resources & Industry Experts

  • Work Hard, Play Harder: Quarterly Team Trips (Onsite and Offsite)

  • Mind & Body Wellness: Gym, Wellness, and Access to Mental Health Plans

  • Fuel Your Day: Free Lunch, Snacks, Cold Brew, & Happy Hours

  • Grow With Us: Endless Opportunities to Lead & Succeed

  • Keep on Shining: Ongoing Employee Development Programs

EEO & Compensation Transparency Statement:
Goodie AI is committed to pay transparency and equity among all employees and provide employees an environment where pay transparency and dialogue on compensation are allowed. Goodie AI complies with federal, state, and local laws on compensation, pay transparency, and pay equity. We take factors including geographic location, education, training, skillset, market rates, certifications, and more into consideration when constructing pay ranges for new and existing roles within our organization. The compensation range for this position is $110,000-$140,000.

At Goodie AI, we understand that diversity in the workplace is vital to a company’s success and growth. We strive to make sure that our team members are included and have a sense of belonging that makes us a great company to work with and a great company to work for. To that end, Goodie AI is committed to Equal Opportunity Employment and comply with all Equal Opportunity Employment laws. We will consider all qualified applicants without regard to race, religion, color, national origin, sex, gender identity, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will work to make reasonable accommodations available in the job application and interview process, to perform essential duties of the job function, and to retrieve other benefits and privileges of employment with our organization.


BEWARE OF FRAUD! Please be aware of potentially fraudulent job postings or suspicious activity by persons that are posing as Goodie team members, recruiters, and HR employees. Our team will contact you regarding job opportunities from email addresses ending in @nogood.io or @higoodie.com. Additionally, we do utilize our ATS- Ashby- to help us schedule initial screening calls. Job seeking is hard- we’re sorry that scammers have added this element to your search for something new. Stay vigilant out there!

Skills Required

  • 4+ years in product management (B2B SaaS; startup experience preferred)
  • Clear, specific ownership on resume with measurable outcomes
  • Strong analytical instincts and ability to work directly with data
  • Experience working AI-natively and using LLMs/AI tooling
  • Comfortable defining metrics and quality thresholds for AI-generated output
  • Experience using analytics tools (Mixpanel) to inform product decisions
  • Strong written and verbal communication skills
  • Comfortable with ambiguity and low process; able to operate in a 0-to-1 environment
  • Collaborative approach working across Engineering, Design, Sales, and Marketing
  • Background in martech, fintech, or other data-dense B2B domain
  • Series A or later startup experience
  • LLM or GenAI product development experience
  • SEO, content, or search background
  • Experience as an early product hire building 0-to-1 at a startup
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20 Employees

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